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KDD
2006
ACM
134views Data Mining» more  KDD 2006»
14 years 7 months ago
Learning to rank networked entities
Several algorithms have been proposed to learn to rank entities modeled as feature vectors, based on relevance feedback. However, these algorithms do not model network connections...
Alekh Agarwal, Soumen Chakrabarti, Sunny Aggarwal
WEBDB
2010
Springer
178views Database» more  WEBDB 2010»
14 years 12 days ago
Using Latent-Structure to Detect Objects on the Web
An important requirement for emerging applications which aim to locate and integrate content distributed over the Web is to identify pages that are relevant for a given domain or ...
Luciano Barbosa, Juliana Freire
BMCBI
2005
122views more  BMCBI 2005»
13 years 7 months ago
GenClust: A genetic algorithm for clustering gene expression data
Background: Clustering is a key step in the analysis of gene expression data, and in fact, many classical clustering algorithms are used, or more innovative ones have been designe...
Vito Di Gesù, Raffaele Giancarlo, Giosu&egr...
WSDM
2012
ACM
301views Data Mining» more  WSDM 2012»
12 years 2 months ago
Learning evolving and emerging topics in social media: a dynamic nmf approach with temporal regularization
As massive repositories of real-time human commentary, social media platforms have arguably evolved far beyond passive facilitation of online social interactions. Rapid analysis o...
Ankan Saha, Vikas Sindhwani
DAC
2003
ACM
14 years 8 months ago
Automated synthesis of efficient binary decoders for retargetable software toolkits
A binary decoder is a common component of software development tools such as instruction set simulators, disassemblers and debuggers. The efficiency of the decoder can have a sign...
Wei Qin, Sharad Malik